Article
Version 1
This version is not peer-reviewed
The Evolutionary Framework for Human-Machine Alignment
Version 1
: Received: 16 September 2024 / Approved: 16 September 2024 / Online: 17 September 2024 (06:19:39 CEST)
How to cite: Vzorin, G. The Evolutionary Framework for Human-Machine Alignment. Preprints 2024, 2024091250. https://doi.org/10.20944/preprints202409.1250.v1 Vzorin, G. The Evolutionary Framework for Human-Machine Alignment. Preprints 2024, 2024091250. https://doi.org/10.20944/preprints202409.1250.v1
Abstract
The rapid development of advanced AI technologies poses serious existential threats and necessitates research on safe and responsible Human-AI alignment. We hypothesize that the evolution of AI may be viewed not as something accidental or artificial, but as a natural part of the evolution of intelligence in living species. This perspective suggests a different view of the Human-AI relationship, where AI is not seen as a threat or a mere enhancement of humans, but as a mean of revealing and establishing true human nature — achieving greater freedom and self-determination. While in previous evolutionary stages, more freedom was attained through inculturation, AI can serve as a tool in the next stage by providing a direct connection between individuals and culture, overcoming the limitations of traditional cultural acquisition processes and giving rise to post-human free beings. A specific step-by-step framework rooted in cognitive evolution theories is proposed, along with potential directions for empirical research.
Keywords
Superalignment; Human-AI co-evolution; HCI; machine culture
Subject
Social Sciences, Psychology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
